New Mexico Supercomputing Challenge

Analyzing the Driving Distance of a Golfer

Team: 141

School: School of Dreams Academy

Area of Science: Statistics


Interim: Team Number: 141
School Name: School of Dreams Academy
Area of Science: Statistics
Project Title: Analyzing the driving distance of a golfer

Problem Definition:

The driving distance of a golfer is based on several factors. Some of these factors include: height, weight, lag, backswing, and most importantly; swing speed. Using these five key factors we have developed ideas on how our team will solve the x factor of the driving distance of a golfer. Many discoveries have been made throughout the years of average driving distance between male and female golfers. Using the discoveries made by golfingforbirdies.com and golflink.com we developed our project to find out how far our team members would be able to hit a drive.

The goal of this project is to make a computer model showing the driving distance of several types of golfers: short, tall, inexperienced, and experienced. Many factors have come into play throughout our project and we are determined to find more factors that could play into our project throughout the next four months. Our project, the driving distance of a golfer, is allowing us to discover the endless possibilities for what one golfer can drive at maximum distance.

Problem Solution:

The distance of a golfer is not a simple solution at all. To solve the average distance of a drive we have to take the previously recorded statistics of the average distance of professional golfers in the 2013 season from pgatour.com and lpga.com. We do have to take in the factor of experience. Professional golfers have played the game for at least ten years. These golfers started from where we were in skill and have improved from there. From there our team will take these statistics and graph them through Microsoft Excel.

After our team graphs the statistics from the 2013 PGA and LPGA tour seasons we will look at high school, college, and amateur golfers. This will help us figure out the average distance of an average golfer. Throughout the challenge we will meet with college golfers, amateur golfers, professional golfers, and every day golfers to help us determine the average distance of a golfer. Therefore we will speak with many types of golfers throughout our project. Next, we will test the average distance of these golfers with a machine used to test swing speed (our key factor) and carry distance for a golf ball.

Progress to Date:

Presently, a simulation has been constructed in which x amount of golfers are hitting the average distance of golf balls for their specified height and weight. The simulation is designed on Netlogo by, Jose, our team leader. We have visited with two high school golf coaches to see if we could have their golfers tested on their average distance. After the interim report is due we will visit with both high schools golf teams and test their average distances. Anastasia, our team researcher, has visited both the PGA and LPGA websites and written the average distances for forty golfers. All of our teammates have helped with the simulation and all of our teammates have worked on the research of the average distance of a golfer.

Expected Results:

Throughout the first three months of the challenge we noticed the affects of height and weight in the distance of a drive. At the beginning of the challenge our team knew that there would be a difference between the two factors. Now that we have advanced in our research and programming we have thought of several expected outcomes. Our team expects to find the average distance of a five foot six inch golfer to be around the same distance of a five foot nine inch golfer. These are just predictions. Another prediction is that for every year of experience in golf a golfer should hit their drive ten yards farther.

There are also several types of drivers that will be used when determining the average distance of a golfer. The clubs differ in height, weight, loft, and shaft flexibility. Our team expects that the most recent clubs will hit the furthest. Older drivers, such as the Titleist Model 90, will decrease in distance for each golfer that we test. Therefore, we will receive different data from different clubs from each golfer. We expect this project will give us an understanding on how far each team member will hit by the end of the challenge.

References:

lpgatour.com
pgaour.com
golflink.com
golfingforbirdies.com
Golf Week Magazine

Team Members:
Jose Montoya, Anastasia Gallegos, Nick Wright
Sponsoring Teacher:
Creighton Edington


Team Members:

  Jose Montoya

Sponsoring Teacher: Creighton Edington

Mail the entire Team

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